With over 20 years of analytics experience, Elder Research has developed a suite of proven, point solutions to address complex business analytics problems. Developed and continuously improved using agile processes, our solutions have been successfully deployed in both cloud and premise-based environments.

RADR - Link Graph Explorer-1


The Risk Assessment Data Repository (RADR) is a powerful server-based risk analytics platform used to enhance productivity in the investigation of fraud, waste and abuse. RADR enables proactive identification of risk and simplifies the investigative.

Learn more



CEPtor is a high-performance event management software system that efficiently processes disparate actor-based data streams, triggering on temporal sequences and statistical anomalies of interest as driven by the user.

Learn more


Glyphic-1Glyphic is a state-of-the-art engine for accurately and efficiently identifying and extracting key targets within PDF documents. The name originates from the word “glyph”, a typographer's pictorial representation of a symbol. 

Learn more


Blackmarker automatically redacts personally identifiable information (PII) from your lending documents up to 100 times faster than a paralegal with standard point-and-click software. Blackmarker employs machine learning to unlock vast labor savings for your firm.

Learn more


Screen capture of DARWIN software, a probabilistic damage tolerance program for engine rotors


DARWIN is a tool for performing non-destructive analyses of crack formation and growth within turbine rotor disks (usually within aircraft turbines). Sponsored by the FAA and developed with Southwest Research Institute (SwRI) in collaboration with four major gas turbine engine manufacturers. 

Learn more

screen capture of NESSUS, a software tool for computing the probabilistic response of engineered systems


NESSUS® is a general-purpose tool for computing the probabilistic response of engineered systems. Developed with Southwest Research Institute, it can be used to simulate uncertainties in loads, geometry, material behavior, and other user-defined random variables to predict the probabilistic response, reliability, and probabilistic sensitivity measures. 

Learn more


Request a Sales Call